IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v56y2018i1-2p312-332.html
   My bibliography  Save this article

A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms

Author

Listed:
  • Jasneet Kaur
  • Ramneet Sidhu
  • Anjali Awasthi
  • Satyaveer Chauhan
  • Suresh Goyal

Abstract

Green supply chain management (GSCM) involves consideration of environmental impacts of all the processes involved in a typical supply chain to minimise their negative consequences. In this paper, we present a DEMATEL-based approach for investigating barriers in GSCM in Canadian context. Seven manufacturing firms from electronic goods sector are involved. The results of our study yield three main categories of barriers. These barriers are knowledge-related (lack of awareness of the environmental impacts on business, lack of training courses/consultancy/institutions to train, monitor/mentor progress specific to each industry, lack of technical expertise and difficulty in identifying environmental opportunities), commitment-related (lack of corporate social responsibility) and product design-related (complexity of design to reuse/recycle used products). The proposed study is one of the first few to be conducted in the Canadian context for green supply chain barrier analysis for electronic goods sector. Secondly, the barriers are investigated through causality and prominence relations which can help decision-makers, policy planners and managers of organisations in addressing those critical few for making green supply chain practices a success.

Suggested Citation

  • Jasneet Kaur & Ramneet Sidhu & Anjali Awasthi & Satyaveer Chauhan & Suresh Goyal, 2018. "A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 312-332, January.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:1-2:p:312-332
    DOI: 10.1080/00207543.2017.1395522
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2017.1395522
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2017.1395522?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:56:y:2018:i:1-2:p:312-332. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.